Analyzing images to assess task performance
A non-transitory computer-readable medium includes instructions that when executed by a processor cause the processor to perform a method for assessing quality of tasks performed by persons in retail stores. The method may include receiving an indication that a person completed a task corresponding to at least one shelf in a retail store. The method may also include receiving at least one image of the at least one shelf, the at least one image being captured using an image sensor after the completion of the task. The method may further include analyzing the at least one image to determine at least one property associated with performing the task. The method may further also using the at least one property to determine a reward for performing the task.
1. A non-transitory computer-readable medium including instructions that when executed by a processor cause the processor to perform a method for assessing quality of tasks performed by persons in retail stores, the method comprising:
receiving an indication that a person completed a task corresponding to at least one shelf in a retail store;
receiving at least one image of the at least one shelf, the at least one image being captured using an image sensor after the completion of the task;
analyzing the at least one image to determine at least one property associated with performing the task, wherein analyzing the at least one image to determine the at least one property comprises:
identifying at least one visual indicator in the at least one image, the visual indicator comprising at least one of: a color, a brightness, a character, or a shape;
comparing the at least one visual indicator to a reference visual indicator; and
determining a degree of similarity between the identified at least one visual indicator and the reference visual indicator; and
using the at least one property to determine a reward for performing the task.
2. The non-transitory computer-readable medium of claim 1 , wherein the indication is based on an input from the person.
3. The non-transitory computer-readable medium of claim 1 , wherein the indication is based on an analysis of the at least one image.
4. The non-transitory computer-readable medium of claim 1 , wherein the at least one property includes a quality indication of at least one aspect of performing the task, and the determination of the reward is based on the quality indication.
5. The non-transitory computer-readable medium of claim 1 , wherein the at least one image is at least one image captured by at least one of the person or an image sensor mounted to a shelf.
6. The non-transitory computer-readable medium of claim 1 , wherein the method further comprises:
analyzing the at least one image to determine a property of the person; and basing the determination of the reward on the property of the person.
7. The non-transitory computer-readable medium of claim 1 , wherein the task includes at least one of a restocking of a product associated with the at least one shelf, a correction of product facings at the at least one shelf, removing a product from the at least one shelf, changing a price of at least one product, or changing an orientation of at least one product on the at least one shelf.
8. The non-transitory computer-readable medium of claim 1 , wherein the method further comprises:
analyzing the at least one image to determine at least one additional available task corresponding to the at least one shelf in the retail store; and
providing an indication of the additional available task to the person.
9. The non-transitory computer-readable medium of claim 1 , wherein the method further comprises:
analyzing the at least one image to determine that the person performed a positive action corresponding to the at least one shelf in the retail store, the positive action not being included in the task; and
basing the determination of the reward on the positive action.
10. The non-transitory computer-readable medium of claim 1 , wherein the method further comprises:
determining an impact of the performed task; and basing the determination of the reward on the impact.
11. The non-transitory computer-readable medium of claim 1 , wherein the task includes at least one of positioning or removing a promotional sign at the at least one shelf.
12. The non-transitory computer-readable medium of claim 1 , wherein the method further comprises:
analyzing the at least one image to determine at least one aspect lacking in the performance of the task;
providing an indication of the at least one aspect to the person; receiving at least one additional image of the at least one shelf, the at least one image being captured using the image sensor after the indication of the at least one aspect is provided; and
analyzing the at least one additional image to determine the reward for performing the task.
13. The non-transitory computer-readable medium of claim 1 , wherein the reward includes a monetary reward, and the determination of the reward includes a determination of an amount associated with the monetary reward.
14. The non-transitory computer-readable medium of claim 1 , wherein the method further comprises:
receiving input from at least one pressure sensor positioned on the at least one shelf; and basing the determination of the at least one property on an analysis of the received input.
15. The non-transitory computer-readable medium of claim 1 , wherein the method further comprises:
receiving input from at least one touch sensor positioned on the at least one shelf; and basing the determination of the at least one property on an analysis of the received input.
16. The non-transitory computer-readable medium of claim 1 , wherein the method further comprises:
receiving input from at least one weight sensor positioned on the at least one shelf; and basing the determination of the at least one property on an analysis of the received input.
17. The non-transitory computer-readable medium of claim 1 , wherein the method further comprises:
receiving input from at least one light sensor positioned on the at least one shelf; and basing the determination of the at least one property on an analysis the received input.
18. A system for assessing quality of tasks performed by persons in retail stores, the system comprising:
at least one processor; and
a non-transitory computer-readable medium containing instructions that, when executed by the at least one processor, cause the at least one processor to:
receive an indication that a person completed a task corresponding to at least one shelf in a retail store;
receive at least one image of the at least one shelf captured using an image sensor after the completion of the task;
analyze the at least one image to determine at least one property associated with performing the task, wherein analyzing the at least one image to determine the at least one property comprises:
identifying at least one visual indicator in the at least one image, the visual indicator comprising at least one of: a color, a brightness, a character, or a shape;
comparing the at least one visual indicator to a reference visual indicator; and determining a degree of similarity between the identified at least one visual indicator and the reference visual indicator; and
use the at least one property to determine a reward for performing the task.
19. A method for assessing quality of tasks performed by persons in retail stores, comprising:
receiving an indication that a person completed a task corresponding to at least one shelf in a retail store;
receiving at least one image of the at least one shelf captured using an image sensor after the completion of the task;
analyzing the at least one image to determine at least one property associated with performing the task, wherein analyzing the at least one image to determine the at least one property comprises:
identifying at least one visual indicator in the at least one image, the visual indicator comprising at least one of: a color, a brightness, a character, or a shape;
comparing the at least one visual indicator to a reference visual indicator; and determining a degree of similarity between the identified at least one visual indicator and the reference visual indicator; and
using the at least one property to determine a reward for performing the task.